The Executive Post Graduate Diploma in Analytics (EPGDA) program at the School of Management and Labour Studies, offered by the Labour Market Research Facility (LMRF), presents a captivating prospect. The integration of information and communication technologies, coupled with advancements in machine learning and innovative visualisations, opens up exciting avenues for organising intricate systems and expanding our knowledge. This evolution not only ensures higher precision but also creates promising career opportunities in the labour market.
While analytics as a field is not new, the contemporary information-centric world necessitates tools capable of handling vast datasets, often beyond the capabilities of traditional statistical and econometric techniques such as regression. Data analytics distinguishes itself from conventional approaches in three key aspects: its ability to manage extensive volumes of data, the exploration of a higher number of potential predictors, and the identification of complex non-linear patterns. Prominent institutions like the European Commission (EC) foresee a significant upswing in professions related to Big Data, Data Science, and Analytics in the United Kingdom. India, as a trailblazer in Information Technology, is poised to become a crucial node in the global network of Big Data, Data Science, and Analytics.
Executive Post Graduate Diploma in Analytics (EPGDA): Programme Design
Objectives of EPGDA
Creating talent in emerging contours of data sciences, big data, and analytics;
Stressing the importance of applying analytics in corporate intelligence, public policy analytics and social big data.
Encouraging creativity and innovation in the field
Building capacity among the participants to envisage and manage independent projects
Key features of the programme
The one-year part-time professional program is meticulously designed to accommodate the diverse needs of working individuals seeking both educational advancement and professional growth. The semester schedule is thoughtfully structured to allow students to pursue high-quality education without compromising their existing professional commitments. This strategic arrangement not only acknowledges the constraints of working professionals but also emphasises the importance of maintaining a balance between academic pursuits and practical work engagements.
A key feature of the program is its commitment to facilitating upward mobility for working professionals, providing them with a clear pathway to advance in their current roles or seamlessly transition to a new occupational profile. This unique emphasis on career progression aligns with the dynamic demands of today's professional landscape, where adaptability and continuous learning are paramount.
The program distinguishes itself by offering a perfect blend of theoretical knowledge and practical insights. Renowned faculty members and practitioners from reputed companies contribute to the curriculum, ensuring that students receive not only academic expertise but also real-world perspectives. This synthesis of theory and practice enhances the overall learning experience and equips participants with valuable skills applicable in their professional domains.
In addition to the classroom instruction, the program incorporates innovative workshops that serve a dual purpose. These workshops not only enrich the learning process by providing hands-on experiences but also create networking opportunities for participants. Engaging with industry experts and peers fosters a collaborative learning environment, enriching the overall educational journey.
One of the program's distinctive features is its commitment to maximizing productivity over weekends. By condensing the learning sessions into weekends, the program acknowledges the time constraints of working professionals and ensures that participants can gain in-depth knowledge and grasp the best practices of data analytics without disrupting their weekday commitments. This approach reflects the program's adaptability and commitment to providing a comprehensive yet flexible learning experience tailored to the needs of the modern professional.
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